ONIQ IQ/A

IQA takes data from existing systems (like ERP, MES, or shop floor data) and automatically generates a visual representation of the value stream. This eliminates the time-consuming manual process of creating value stream maps on paper or with traditional drawing tools.

Unlike traditional value stream mapping, which is often a one-time snapshot, IQA continuously collects data and updates the digital twin. This provides a dynamic view of the value stream, reflecting real-time changes and allowing for ongoing monitoring and analysis.

IQA comes with built-in analyses based on Lean principles. These analyses automatically identify common types of waste (muda) in production, such as overproduction, waiting, transportation, inventory, motion, over-processing, and defects.

The software automatically analyzes the digital twin and identifies areas where the value stream is inefficient. This includes highlighting bottlenecks, delays, excessive inventory, and other issues that hinder performance.

IQA uses machine learning algorithms to analyze data and identify the underlying causes of problems in the value stream. This goes beyond simply identifying symptoms and helps organizations address the root causes of inefficiencies.

Machine learning can uncover complex relationships between different variables in the production process that might be difficult or impossible to identify through manual analysis. This can lead to new insights and more effective improvement strategies.

IQA is designed to be user-friendly and doesn't require users to have expertise in AI or data science. The AI-powered analyses are built into the software and run automatically.

As explained above, this automates the creation of visual representations of the value stream.

This provides a real-time, dynamic view of the value stream.

By collecting data from various sources, IQA creates a comprehensive dataset for in-depth analysis.

This automates the identification of the seven wastes of Lean.

IQA helps organizations focus their improvement efforts on the areas that will have the biggest impact.

This helps organizations address the underlying causes of waste and inefficiency.

By analyzing data from the digital twin, IQA can identify opportunities to improve productivity that might not be obvious through traditional methods.

IQA tracks key performance indicators (KPIs) and provides real-time feedback on process performance.

IQA provides tools and insights that can be used for daily shop floor management and to support ongoing continuous improvement initiatives.

IQA analyzes data related to energy consumption and CO2 emissions within the production process.

IQA helps organizations identify opportunities to reduce their environmental impact while also improving efficiency and reducing costs. This integrated approach to "Lean and Green" manufacturing ensures that sustainability initiatives are aligned with business goals.